Alex Kendall is a commercialization manager at PNNL responsible for identifying, protecting, and marketing PNNL’s portfolio of intellectual property comprising biotechnology, bioprocessing, catalyst materials, and nuclear technologies.

Alex most recently was a professor and PhD chemist with Oregon Health & Science University, where he taught biomaterials and biomechanics and worked on developing bioactive medical implants and polymer-based materials. Prior to this, Alex served as a senior research and development scientist at the Yale-based start-up company P2 Science in Connecticut. While there, he worked on green chemistry, process ozonolysis, plant-based nylon production, and bioactive compounds for the treatment of tropical diseases. From 2016 to 2017, Alex was a postdoc at PNNL with the Physical and Computational Sciences Directorate's Molecular Catalysis Team. He has authored 10 patents and 13 scientific articles from his career across academia and industry. 

Jon Grundy is a data scientist in the Applied AI Systems group. His research currently focuses on building and improving natural language processing (NLP) pipelines for information retrieval use cases. His research interests include NLP, machine learning operations (MLOps), and applied AI ethics.

He spent several years working in industry on a variety of optimization, visualization, and NLP problems and has spent most of his data science career working on military health and Department of Defense (DoD)-Chief Digital and Artificial Intelligence Office analytics products at Booz Allen Hamilton. He has contributed NLP production code to open-sourced DoD analytic tools and managed teams of analysts building ML-driven dashboards aimed at improving patient care and experience in military health care clinical settings. He has also managed teams of data scientists and engineers to develop MLOps capabilities for a DoD data storage and analytics platform. He has co-authored white papers and book chapters on AI ethics.

In a career specializing in metadata, ontologies, and discovery, Juliane Schneider has worked in start-ups, industry, and academia. She was the metadata librarian for Harvard Medical School, NYU Medical Center, and University of California, San Diego’s Research Data Curation Program. She has coordinated data contributions from 70+ grants for Sage Bionetworks and is currently working at PNNL on large language models, data architecture, and research infrastructure design. Throughout her career, Juliane has seen metadata change from a limited set of descriptors manually attached to an item to a powerful network of information controlling not only description but data behavior and semantically complex transactions.

Juliane held leadership roles in Special Libraries Association and the Research Data Alliance. She is a certified Carpentries Instructor and taught workshops on data management at libraries across North America and Ireland. She is currently participating in FAIR initiatives and is a member of GO FAIR-US and FAIRPoints.